Explore & Validate Pack
Start your research on solid ground. This pack covers the two steps that decide whether a project is worth doing at all: understanding the field and proving your idea is new.
Included (4 skills):
- literature-discovery: discover and map the scientific literature for any topic.
- state-of-the-art: synthesize collected papers into a narrative review.
- research-gap: identify the unanswered questions the community has missed.
- novelty-analysis: validate that your contribution is genuinely new, not incremental.
Workflow: discover the field → synthesize the state of the art → find the gap → confirm your novelty. In one afternoon you go from "I have a topic" to "I have a defensible, original contribution."
Works with: Claude Code, Cursor, Codex CLI, GitHub Copilot, and 20+ agents.
One payment, lifetime access. Free updates.
Pricing breakdown
- literature-discovery $0
- state-of-the-art $7
- research-gap $7
- novelty-analysis $6
- Total $20 → Bundle $19
Works with every agent that reads SKILL.md — Claude Code, Cursor, Codex CLI, Gemini CLI, GitHub Copilot, Windsurf, OpenClaw, and more.
One payment, lifetime access. 4 skills unlock instantly in your library.
30-day refund guarantee
Instant unlock in your library
Free updates from the creator
What's included
4 skillsSystematic discovery and landscape mapping of scientific literature with citation analysis and venue quality filtering.
Validate whether your research idea is genuinely new, before you spend months on it.
Systematically identifies research gaps and unexplored dimensions across six technical domains. Find the questions nobody answered, analyze your papers and uncover the gaps the community missed.
Turn a pile of research papers into a coherent State of the Art narrative with gaps and future directions.
See it in action
literature-discovery
Example session with this skill installed
Use the literature-discovery skill to map recent research on retrieval-augmented generation (RAG) for enterprise knowledge bases, focusing on the last 5 years and Q1/Q2 venues.
- Read your context and instructions
- Compiled the literature-discovery
Research clusters
| Cluster | Focus | Leading venues | Maturity |
|---|---|---|---|
| Retrieval architectures | Dense/sparse hybrid, late interaction | SIGIR, ACL, EMNLP | Mature |
| Enterprise grounding | Domain adaptation, access control | KDD, VLDB, ICML | Growing |
| Evaluation & benchmarking | RAG-specific metrics, human eval | ACL, TACL | Emerging |
| Long-context vs RAG | Context windows replacing retrieval | ICLR, NeurIPS | Hot |
Seminal papers
- Lewis et al. (2020) — Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks (foundational)
- Karpukhin et al. (2020) — Dense Passage Retrieval
- Izacard & Grave (2021) — Fusion-in-Decoder
- Gao et al. (2023) — RAG survey + benchmarks (ACL)
- Asai et al. (2024) — Self-RAG / adaptive retrieval
Leading authors, datasets & metrics
- Institutions: Meta AI, Stanford, U. Waterloo, Berkeley, Tsinghua
- Datasets: Natural Questions, MS MARCO, KILT, HotpotQA, FinanceBench
- Metrics: EM/F1, recall@k, faithfulness, citation precision
Trend
Shift from "bigger retriever" toward
adaptive retrieval + factual-grounding evaluation, especially for private enterprise corpora.
Next steps
- Run
state-of-the-arton the 8 seminal papers for a narrative review. - Run
research-gapto confirm the evaluation gap before committing.
How to install
Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.
- 1
Download the ZIP
Free skills download straight away. Paid skills unlock right after purchase.
- 2
Unzip into your skills folder
Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.
- 3
Ask your agent to use it
Restart the agent if it was already running. It picks the skill up automatically - no config needed.
Skills folder by agent
Click the path to copy it. Create the folder if it does not exist yet.
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